Triple
T36796948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Story ads |
E909207
|
entity |
| Predicate | adPlacementType |
P74187
|
FINISHED |
| Object | in-story placement |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: in-story placement | Statement: [Story ads, adPlacementType, in-story placement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adPlacementType Context triple: [Story ads, adPlacementType, in-story placement]
-
A.
adType
Indicates the classification or category of an advertisement associated with an entity or event.
-
B.
sponsorPlacement
Indicates that one entity financially supports or endorses another entity in exchange for a specified form of promotional placement.
-
C.
advertisingLocation
chosen
Indicates the place or medium where an advertisement is displayed or presented.
-
D.
bannerType
Indicates the specific category or style of a banner associated with an entity or context.
-
E.
logoPlacement
Indicates the spatial or contextual position where a logo is displayed or applied in relation to another object, surface, or medium.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.